governing and preparing data for analytics and business

© 2016 Ventana Research1 © 2016 Ventana Research

Governing and Preparing Data for Analytics and Business

Information Builders Summit - June 14, 2016Mark Smith - CEO & Chief Research Officer

© 2016 Ventana Research2 © 2016 Ventana Research2

Digital Data All Over Planet Earth


New Generation of Information Assets


Data is Center of Analytics


Data Required Across Business Personas

The following usage roles operate across business that require data:

Information Consumers• Digest information and perform basic

interactionsKnowledge Workers

• Utilize and interact analytics to drive actions and decisions.

Designers• Enable the design and use of information

across roles.Analysts

• Mashup data and design analytics to provide foundational insights for business.

Data Geeks• Enable big data to be exploited in an immature

world through Data Scientists.IT and Business Intelligence Experts

• Utilize the tools to provide secured access to data and related analytics and metrics.


Harmony in Discovery Requires Confidence


Discovery Requires Accurate Data


Breadth of Analytics Requires Quality Data

Related research facts:•Range of analytics are needed to meet the usage personas.

•Predictive analytics ranks number five in analytic capabilities currently available in the organization (57%), lagging more descriptive approaches of query and reporting (74%)

•Visual analytics is used for contextual understanding (48%) and root cause analysis (40%)

Source: Ventana Research Big Data Analytics Benchmark Research

18%47%Advanced / predictive

26%13%Descriptive analytics

20%16%Real-time analytics

13%9%Visual Analytics

In-database analytics

In-memory analytics

SecondFirstImportance

15%9%

7%4%


Range of Data Tasks are Required

Additional Data Tasks:•Top five data activities are essential but others like auditing, loading, synchronized, metadata and transforming are important to 28 to 25 percent of organizations.

•Preparing data is required according to 27 percent of companies but many other tasks are a higher priority.

53%

52%

45%

44%

36%

To integrate data in both your enterprise and the cloud, which data activities are required?

Analytics

Quality of Data

Security

Accessing

Extracting

Source: Ventana Data and Analytics in the Cloud Benchmark Research


But Analysts Waste Time on Data TasksLargest time spent on data related tasks:

Preparing Data for Analysis

55%

Reviewing data for quality and consistency

48%

Determine how changes impact

business21%

Trying to determine root cause of situation

27%

Waiting for data and information from IT

28%Source: Ventana Research Data and Analytics in the Cloud Benchmark Research


Spreadsheets and Managing Data?

Unreliable Technology• Swirl of spreadsheets

challenge business.• Little confidence in the

accuracy of data.• Almost half of business

export to integrate.• Wasted time preparing

and presenting data.


Big Data Brings Governance Challenges


Big Data Demands Continues to Expand

Source: Ventana Research Information Optimization Benchmark Research

94%of organizations intend to use big data.23% have used for more than a year 56% have started deploying in past 12 months or will begin to use within the next 12 months

45%of organizations are either using Hadoop or plan to use Hadoop over the next year.Another 26% are still evaluating the technology


Big Data in Cloud is Diversifying Rapidly

Related Research:• Growth is distributed

across many categories.

• Establishment of NoSQL and growth of in-memory noted as part of research.

22%50%RDBMS

25%37%Flat files

26%37%DW Appliance

Hadoop

In-MemoryDatabases

NoSQL

Current

Deployment

31%12%

34%24%

29%12%

Source: Ventana Research Data and Analytics in Cloud Benchmark Research

Plan in Next 24 Months

Specialized DBMS 24%10%


Frequency of Big Data is Reality

Related research facts:•Nearly a one-in-four companies integrate data into big data stores in Real time, whereas, a one-in-three businesses do it Every day.

o Midsize (44%) companies integrate data every day, whereas.

o Data is integrated every day by Services (40%) segment, whereas, Manufacturing(19%) integrates every hour.

Source: Ventana Research Big Data Integration Benchmark Research

24%

16%

7%

30%

9%

Real time

Every hour

Every day

Weekly

Monthly

How often does your organization need to integrate data into your big data store?


Big Data is Shifting to Real Time


43% integrate event-centric data to big data.28% integrate network traffic and monitoring.

41%state relevance of Internet data sources.Another 25% indicate relevance of location sources.

19%state importance of Sensor & RFID data.Another 17% indicate relevance of Internet-based event cloud.


Big Data Creates Deluge of Challenges

© 2015 Ventana Research17


Big Data has Larger Data Challenges

1. Reviewing data for quality and consistency (52%)

2. Preparing data for integration (46%)

3. Connecting to data sources (39%)

4. Deploying integration tasks (36%)

5. Designing tasks for integration (35%)



Examine New Approaches to Data

Assess Environment• Only one-third of

organizations are satisfied with their current technology.

• More than half of organizations said their current infrastructure is not fast enough or flexible enough; almost half said the technology is simply inadequate.

• About half of organizations turn to their existing database or data integration vendor.


Challenge of Effective Big Data Integration

Inefficient Processes• Use data-based business

insights improves competitiveness.

• Our research finds that more than half (55%) of organizations are only somewhat confident or not at all confident in their ability to process large data volumes.

• Even more (58%) doubt their ability to process data that arrives at high velocity.


Sensor Technology

EventOrientation

Industry Standards

Fast and Big Data

Advanced Analytics

Security and Privacy

“The Internet of Things (IoT)” Shift


Internet of Things has Business Potential


Internet of Things: Machines and Devices


Data is Foundation for Analytics

DataModelAccess

AnalyticsDiscoveryIntegratePredict

CommunicationCollaborate

ManageInform

ActAutomate


Effective Evaluation of Analytics & Data

Download Executive Summary http://www.ventanaresearch.com/BIValueIndex/

http://www.ventanaresearch.com/BIValueIndex/


Empower Analysts to Architect Data


Establish Process for Consistent Data

Improve Efficiency• Enable personas with set of

tools to support information value chain to exist.

• Publish methods to transform data to meet business standards.

• Identify and implement means to automate data preparation needs of business.


Governing Data Assets as Librarians


Next Steps for Governing Data

1. Assess the processes and time spent on preparing data to save resources and time.

2. Avoid creating silos of data processes that could prepare the quality of data differently.

3. Determine the tools and methods to better manage the data requirements of business.

4. Assemble a committee from across LOB that represent the needs and methods required.

5. Prioritize business and IT investments to support data for analytics and operations.


Q&A


Contact Information

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LinkedIn http://www.linkedin.com/company/ventana-research

Analyst Perspectiveshttp://marksmith.ventanaresearch.com

Community and Web Sitehttp://www.ventanaresearch.com

http://marksmith.ventanaresearch.com/

http://www.ventanaresearch.com/

© 2016 Ventana Research33 © 2016 Ventana Research

Governing and Preparing Data for Analytics and Business

Information Builders Summit - June 14, 2016Mark Smith - CEO & Chief Research Officer